عنوان
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مدل تطبیق بیزی موجک انقباضی در برآورد ناپارامتری تابع رگرسیون
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نوع پژوهش
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مقالات در همایش ها
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کلیدواژهها
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Threshold, Bayesian Estimation, Mixture model, Shrinkage Wavelet,
Denoising
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چکیده
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The wavelet analysis is one of the most useful techniques in mathematics that has been widely used in statistics in recent years. One of the methods in the theory of estimators
Is used, wavelet method. In this paper, after briefly describing Bayesian shrinkage wavelet, The adaptive bayesian wavelet shrinkage model is introduced in the nonparametric estimator of the function f(x), and then the distribution of its coefficients is calculated.
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پژوهشگران
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حمید کرمی کبیر (نفر اول)، روح اله حقیقت طلب (نفر دوم)، محمود افشاری (نفر سوم)
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